This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 1781–1800 of 4286 papers
Thomas Stridsland, William Biørnstad, Kristina Vigen +2
This case study of Danish clothing company MASCOT uses a GHG Protocol-compliant open-access emissions inventory, finding 85% of emissions in scope 3 (76% purchased goods/services). It highlights supplier data gaps and inconsistencies, calli…
Zhang Timing, Wang Yong, Zhao Weimin +3
This study investigates hydrogen permeation in X80 pipeline steel and its weld heat-affected zone (HAZ) under high-pressure coal gasification environments. Using welding thermal simulation, specimens from different HAZ subzones were tested,…
Björn Johansson, Mélanie Despeisse, Jon Bokrantz +29
This editorial outlines challenges and opportunities in manufacturing research for sustainable battery life cycles. It identifies four themes: digitalization and automation, human-centric production, circular battery systems, and future val…
Hans-Dieter Wehle
This chapter examines how AI-enhanced Digital Product Passports (DPPs) can support ESG transparency in Industry 5.0. It proposes a modular software architecture combining machine learning for carbon forecasting, anomaly detection, and impac…
Frederik Dahlmann, Jens K. Roehrich
This study analyzes how companies engage their supply chain partners in climate mitigation using CDP supply chain survey data. Grounded in organizational information processing theory, it finds that firms prioritize accurate Scope 3 measure…
Fatemeh Stodt, Nicolai Maisch, Philipp Ruf +3
This paper proposes a blockchain-based concept for Digital Product Passports (DPP) to enhance sustainability in EU supply chains. It combines Secret Network and Gaia-X to enable secure, confidential sharing of carbon footprint and material …
Harri Moora, Mariliis Haljasorg, Sirli Pehme +2
This study examines readiness of garment manufacturers for EU ESPR and Digital Product Passport (DPP) requirements, using surveys in Pakistan, Bangladesh, Turkey and a case study of upcycled garments for Estonia's Paris 2024 team. It identi…
Kruthi Kiran Ramagiri, Patricia Kara De Maeijer, Arkamitra Kar
This study evaluates alkali-activated concrete (AAC) with varying fly ash/slag ratios and activator moduli for high-temperature performance, mechanical properties, and environmental impact. LCA shows transport and sodium silicate dominate c…
Jérome Dierickx
The TRUSTEX project develops interoperable digital infrastructures for Digital Product Passports (DPPs) in textiles, addressing fragmented supply chains and lack of standards. It leverages PCDS (ISO 59040) and combines AI-driven data valida…
Vainiotalo, Annika
This thesis explores how a global industrial company's division can support suppliers in reducing their Scope 1 and 2 emissions. Using qualitative methods including expert interviews and thematic analysis, it develops a maturity-based suppo…
Frederik Dahlmann, Jens K. Roehrich
This paper qualitatively analyzes how firms engage supply chain partners in sharing and processing climate-related information, using CDP supply chain data. Grounded in organizational information-processing theory, it finds firms primarily …
Nelson Barrios, Maria Cristina Gonzalez, Nishme Zabib +2
The pulp and paper industry accounts for ~2% of global CO2 emissions and 6% of industrial energy use. This review maps Scope 1, 2, and 3 emissions across the value chain, identifying operational levers (CHP, recovery boiler optimization, he…
Pizzol, Massimo; id_orcid 0000-0002-7462-2668, Ghose, Agneta; id_orcid 0000-0003-1972-1433, Løkke, Søren; id_orcid 0000-0002-4544-1788 +9
This paper presents deliverable D1.2 of the Horizon Europe project ALIGNED, proposing a scientific framework for life cycle assessment (LCA) of bio-based products. It includes methods for dynamic background systems, market constraints on bi…
Moritz Hörger, Mara Simon, Yannik Hermann +3
This paper proposes an iterative logic to derive optimal circular strategies for returned products using digital product passport data. It quantifies costs and emissions, enabling efficient end-of-life management. The approach is tested in …
Feng Xu, Ke Fang, Dong Xiang +1
With the EU Battery Regulation and Digital Battery Passport (DBP) implementation, accurate carbon footprint (CFP) accounting for lithium-ion batteries containing recycled lithium is critical. This paper proposes a carbon-activity-based gran…
Pushpendra, Elias Vollert, Dominic Bresser +1
This LCA study reveals that graphite, as anode material, is a major hotspot in lithium-ion battery production, with carbon footprint significantly affected by graphite type (synthetic vs. natural) and sourcing region. Using latest industria…
Anni Larkomaa
This thesis explores how companies can maximize the business value of the EU Battery Passport, mandated by 2027. It proposes data collection methods and usage strategies for EV batteries, including a SWOT analysis of digital product passpor…
Anastasiia Belova, Artem Revenko, Viola Gallina +2
This paper analyzes requirements for the EU's Digital Product Passport (DPP) system, focusing on the role of knowledge graphs and data spaces in tracking product carbon footprints. It emphasizes the need for accessible and affordable techno…
Navodana Rodrigo, Pournima Sridarran
The construction industry accounts for 36% of global energy use, 39% of carbon emissions, and one-third of waste. This editorial introduces a special issue of 21 papers on accelerating built environment sustainability through proactive rese…
Piao Zhengguo, Zhang Mingguo
This paper designs a novel two-stage grid-connected inverter integrated with energy storage for distributed PV systems, and proposes peak shaving control to address power peak-valley issues caused by load variations. Simulations demonstrate…
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